Start Your Data Science Career With Top Entry-Level Data Science Jobs

1. Start Your Data Science Career with Top Entry-Level Data Science Jobs The concept of data-driven business isn’t imaginary but real. It is not limited to just big brands but today companies of all sizes and types are leveraging the power of data and data science to make data-driven informed decisions. All organizations want to boost their business with the help of advanced data science tools, and for that, they need skilled and certified data science professionals. As per the US Bureau of Labor Statistics, data science jobs are expected to grow by 32% by 2030. Not just that, data science jobs are also ranked as the fifth fastest-growing jobs in the world. So, if you are looking to make a career in data science, then here let us explore the top entry-level data science jobs that you can start your career with. Essential Skills Needed To Start A Career In Data Science Before we delve deeper into top job roles, we must understand what does it takes to start a career in data science. Here are some of the basic technical and non-technical data science skills you need to be proficient with to get into a data science career. • Programming Languages: It is mandatory to be proficient with various programming languages like Python, R, or SQL to perform various types of data science tasks. • Data wrangling and manipulation Data science professionals need to know how to clean, organize, and prepare raw data for analysis as it forms the first step of all data science projects. • Statistical Analysis You must also be good at statistical concepts like hypothesis testing, correlation, aggression, etc. to know how to draw meaningful conclusions from data. • Fundamentals of machine learning Having knowledge of machine learning algorithms will help you effectively design and develop various types of data science models. There are various online courses and data science certifications available to help you gain these fundamental skills in data science. Apart from these core technical data science skills, you must also be good at the following soft skills: • • • • Problem solving and critical thinking skills Good communication skills Team player and collaboration skill Passion to excel in this everchanging dynamic world of data science and update regularly. Top Entry-Level Data Science Jobs So, now let’s have a close look at some of the popular starting-level jobs in the data science industry.

2. 1.Data Analyst They are considered to be data wranglers and storytellers in the world of data science. Their main task is to collect, clean, and analyze data to identify trends and patterns. They have to clearly communicate the findings to the stakeholders through reports or interactive visualizations. Tools used: Excel, Tableau, PowerBI. 2.Business Intelligence Analyst They take the data analysis to one step further by adding business elements into the analysis process. Business intelligence analysts help convert data insights into actionable business strategies and help companies optimize different business processes. They need strong communication and data visualization skills. 3.Data Visualization Specialist Data visualization specialists help to convert complex technical insights into easy-to-understand visuals to be communicated to non-technical audiences. This helps stakeholders to understand the insights deeply and make accurate business decisions. Tools used for data visualization: Tableau, PowerBI, D3.js 4.Junior Data Scientist They work under the guidance of senior data scientists and gain hands-on experience in managing the entire data science project lifecycle including defining problems, collecting data, analyzing them, and building and deploying data science models. 5.Data Engineer Data engineers are responsible for building and maintaining data pipelines or proper data infrastructure to help data scientists with a continuous flow of relevant data. It helps data scientists access, store, and process large datasets. They need to be proficient with Python, Java, Scala, and other programming languages and also have a strong understanding of warehousing and cloud computing. 6.Machine Learning Engineer Machine learning engineers are proficient in designing, building, deploying, and maintaining machine learning models. So, they need to have a solid understanding of machine learning foundations, deep learning, and software engineering concepts. 7.Data Quality Analyst Their main job is to ensure the data used for analysis meets the accuracy, completeness, and consistency required to provide the best outcome for a data-driven decision-making process. They also develop and implement data quality processes, and identify and resolve if there are any quality issues in datasets.

3. Conclusion The world of data science is vast and offers a range of rewarding career paths. So, it is recommended that you gain the right data science skills, validate them with the best data science certification programs, and start your journey to the world of data science with these top-entry-level data science jobs. Faqs For Aspiring Data Scientists • Do I need a master’s degree in data science? No. While it can be beneficial for your data science career, it is not mandatory. For entry-level data science jobs, you need to have the right skills and relevant experience. • What resources can help me learn data science? There are several resources available both online and offline to help you master the basic to fundamental concepts of data science. You can learn from online data science courses, forums, YouTube videos, paid and free data science certifications, and platforms like Coursera, Udacity, etc. • How much can I earn in entry-level data science jobs? As a beginner data science professional, you can earn a minimum of $80,000 in the US, and in some renowned companies, you can also earn up to 6 figured salaries for these entry-level roles.